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Table 2 Proportion of chronic diseases and preventive care (%) by economic quintile, and economic-related inequality

From: Socioeconomic inequalities in the prevalence of chronic diseases and preventive care among adults aged 45 and older in Shaanxi Province, China

 

Hypertension and preventive care

Diabetes and preventive care

Presence of Hypertension

Adequate medication

Measure blood-pressure

Presence of Diabetes

Adequate medication

Test blood-glucose

Respondents

27,728

5742

5742

27,728

1055

1055

Poorest, % (95%CI) a

18.18 (17.13–19.23)

50.99 (47.99–54.00)

89.30 (87.44–91.16)

1.69 (1.34–2.05)

59.09 (52.16–66.01)

77.52 (71.64–83.4)

Poorer, % (95%CI) a

20.06 (18.97–21.16)

56.89 (53.92–59.86)

91.05 (89.3–92.81)

2.97 (2.48–3.45)

68.77 (62.30–75.24)

82.73 (77.41–88.05)

Middle, % (95%CI) a

20.87 (19.74–22.00)

58.94 (55.96–61.92)

90.36 (88.56–92.17)

3.75 (3.20–4.29)

78.58 (72.80–84.36)

87.00 (82.08–91.91)

Richer, % (95%CI) a

21.43 (20.28–22.58)

64.50 (61.62–67.37)

94.86 (93.56–96.17)

4.40 (3.81–4.99)

80.07 (74.46–85.68)

91.36 (87.39–95.33)

Richest, % (95%CI) a

24.18 (22.96–25.41)

72.10 (69.41–74.78)

97.03 (96.1–97.95)

7.44 (6.68–8.21)

82.81 (77.32–88.3)

91.59 (87.59–95.60)

RIIb, (95% CI)

0.70*** (0.64–0.75)

0.70*** (0.65–0.75)

0.92*** (0.90–0.94)

0.21*** (0.16–0.27)

0.72*** (0.63–0.83)

0.85*** (0.78–0.93)

RIIc, (95% CI)

0.73*** (0.67–0.79)

0.81*** (0.75–0.87)

0.93*** (0.90–0.95)

0.32*** (0.25–0.41)

0.80*** (0.69–0.92)

0.87*** (0.80–0.96)

C, (95%CI)

0.056*** (0.041–0.070)

0.068*** (0.054–0.081)

0.017*** (0.013–0.022)

0.264*** (0.228–0.299)

0.065*** (0.043–0.088)

0.036*** (0.021–0.051)

  1. Note: (1) 95% CI: 95% confidence interval, C: concentration index, RII: relative index of inequality; (2) a: weighted but unadjusted prevalence estimates; (3) b: RII values were established by Poisson regressions with robust variance and adjusted for gender and age; (4) c: RII values were established by Poisson regressions with robust variance and adjusted for gender, age, education level, marital status, working status, basic medical insurance, commercial medical insurance and urban/rural area; (5) ***p < 0.001